The Newton-Kantorovitch algorithm is used to reconstruct the shape of a perfectly conducting cylinder buried in a lossy half-space from the measurement of scattered field along the interface. A typical example of the lossy half-space is the lossy underground with finite soil conductivity. After a brief description of the theoretical formulation, the authors concentrated on examining the effect of burying depth, soil conductivity and additive random noise on the quality of shape reconstruction. Numerical simulations show that the attenuation due to finite soil conductivity will deteriorate the image quality.>
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Chiu et al. (1992) studied this question.
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